Pirotti, Francesco; Mokroš, Martin; Scaioni, Marco; Gaevert, Caroline; Rutzinger, Martin; Anders, Katharina; Mayr, Andreas; Zieher, Thomas; Eltner, Anette; Höfle, Bernhard; Bremer, Magnus; Lindenbergh, Roderik; Oude Elberink, Sander (2023): 3D laser scanning and photogrammetric data sets of arolla pine trees at Bruggboden next to Zirbenwald close to Obergrugl, (Austria) acquired during the Sensing Mountains 2022 – Innsbruck Summer School [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.961803
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
The site is situated south of Obergurgl (Ötztal Alps, Austria) above the Zirbenwald. The local field name of the site is "Bruggboden" It contains selected group of arolla pine trees (Pinus cembra). The data set encompasses a range of techniques and tools, including Mobile Laser Scanning (MLS) using GeoSLAM and IPhone Lidar, Terrestrial Laser Scanning (TLS) with Trimble and Riegl VZ2000-i, Airborne Laser Scanning (ALS) by RICOPTER RIEGL VUX-1LR, ALS 2020, and ICESat-2, as well as photogrammetric reconstructions using IPhone Video and Sony Alpha cameras. Additionally, ground truth data is collected using Total Station Leica, GNSS PPK, mobile phone GNSS, and caliper measurements. This data set has been acquired at the 4th edition of the Sensing Mountains 2022 - Innsbruck Summer School of Alpine Research – Close-range Sensing Techniques in Alpine Terrain.
Keyword(s):
Related to:
Pirotti, Francesco; Mokroš, Martin; Scaioni, Marco; Gaevert, Caroline; Rutzinger, Martin; Anders, Katharina; Mayr, Andreas; Zieher, Thomas; Eltner, Anette; Höfle, Bernhard; Bremer, Magnus; Lindenbergh, Roderik; Oude Elberink, Sander (2022): 3D laser scanning and photogrammetric data sets of arolla pine trees at Bruggboden next to Zirbenwald close to Obergrugl, (Austria) acquired during the Sensing Mountains 2022. Innsbruck Summer School of Alpine Research
Coverage:
Latitude: 46.820000 * Longitude: 11.020000
Comment:
Summer School 2022: https://www.uibk.ac.at/de/geographie/sensing-mountains/2022/
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Rutzinger, Martin | |||
| 2 | Binary Object | Binary | Rutzinger, Martin |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
22 data points
Data
All files referred to in data matrix can be downloaded in one go as ZIP or TAR. Be careful: This download can be very large! To protect our systems from misuse, we require to sign up for an user account before downloading.
| 1 Content | 2 Binary |
|---|---|
| data overview | data_overview.xlsx |
| DBH measurements | DBH_measurements.xlsx |
| Geoslam | Geoslam.zip |
| IPhone video SfM | IPhone_video_SfM.zip |
| TLS Riegl VZ2000-i | TLS_Riegl_VZ2000-i.zip |
| TLS Trimble | TLS_Trimble.zip |
| Terrestrial Photography Sony A6000 | Terrestrial_Photography_Sony_A6000.zip |
| Total Station | Total_Station.zip |
| UAV RiCOPTER Images Sony A6000 | UAV_RiCOPTER_Images_Sony_A6000.zip |
| aoi shp | aoi_shp.zip |
| iPhone TLS | iPhone_TLS.zip |